Evidence map›Paper›PMID 32847860›Full record

ReviewJournal of virology2020

The Dynamic Interface of Viruses with STATs.

Angela R Harrison, Gregory W Moseley

Abstract readReview
In one paragraph

Review in Journal of virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Angela R HarrisonDepartment of Microbiology and Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia.
Gregory W MoseleyDepartment of Microbiology and Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia greg.moseley@monash.edu.ORCID 0000-0003-4516-3906

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses commonly antagonize the antiviral type I interferon response by targeting signal transducer and activator of transcription 1 (STAT1) and STAT2, key mediators of interferon signaling. Other STAT family members mediate signaling by diverse cytokines important to infection, but their relationship with viruses is more complex. Importantly, virus-STAT interaction can be antagonistic or stimulatory depending on diverse viral and cellular factors. While STAT antagonism can suppress immune pathways, many viruses promote activation of specific STATs to support viral gene expression and/or produce cellular conditions conducive to infection. It is also becoming increasingly clear that viruses can hijack noncanonical STAT functions to benefit infection. For a number of viruses, STAT function is dynamically modulated through infection as requirements for replication change. Given the critical role of STATs in infection by diverse viruses, the virus-STAT interface is an attractive target for the development of antivirals and live-attenuated viral vaccines. Here, we review current understanding of the complex and dynamic virus-STAT interface and discuss how this relationship might be harnessed for medical applications.

Indexed as

CytokinesGene ExpressionHost-Pathogen InteractionsImmune EvasionSignal TransductionSTAT1 Transcription FactorSTAT2 Transcription FactorSTAT4 Transcription FactorSTAT6 Transcription FactorSTAT Transcription FactorsVirusesCytokinesSTAT1 Transcription FactorSTAT2 Transcription FactorSTAT4 Transcription FactorSTAT6 Transcription FactorSTAT Transcription Factorshost-pathogen interactionsimmune evasionSTAT signalingSTAT transcription factorsvirus-host interactions

Identifiers

PMID32847860
PMCPMC7592203

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.